Model
MAGICC is a reduced complexity Earth system model that has been widely used in climate science for over three decades, most notably in multiple IPCC reports. It is most often used in a probabilistic setup, providing information not only about our best-estimate of future climate change but also the uncertainty that arises from interactions between the Earth system’s many components. MAGICC is also as the climate component in multiple integrated assessment models (IAMs).
Model
The ibis.iSDM package provides a series of convenience functions to fit integrated Species Distribution Models (iSDMs). With integrated models we generally refer to SDMs that incorporate information from different biodiversity datasets, external parameters such as priors or offsets with respect to certain variables and regions.
Model
CHILLED is a global scope, spatially explicit and physically based model for estimation of building space heating and cooling requirements. It combines high resolution climate data, building physics representation and socioeconomic and behavioural data. CHILLED is used for estimating long term growth in demand for space conditioning (heating & cooling), the associated energy demands and carbon emissions, and the population lacking cooling access (cooling gap).
Model
The DisruptSupplyChain model assesses the indirect economic impacts of disasters by explicitly quantifying the disturbances on supply chains. It simulates, in space and time, how transport infrastructure disruptions perturb the flows of goods in supply chains and how these perturbations affect households, firms, and trade.
Model
Pathfinder is designed to fill a perceived gap within the existing simple climate models by fulfilling three key requirements: (1) the capacity to be calibrated using Bayesian inference, (2) the capacity to be coupled with integrated assessment models (IAMs), and (3) the capacity to explore a very large number of climate scenarios to narrow down those compatible with limiting climate impacts.
Tool
The Fair Mitigation Finance Explorer is the web app accompanying the paper 'Fairness considerations in global mitigation investments' (Pachauri, et al., 2022). Users can select various indicators with a variety of weights to explore the ‘fair’ regional contributions to near-term regional mitigation investment needs. With this information, the web app determines the ‘fair-share’ regional contributions to their respective regional ‘cost-effective’ investment needs.
Tool
The Shared Socioeconomic Pathway (SSP) Extensions Explorer is a tool for visualizing and downloading quantitative elaborations of the Shared Socioeconomic Pathways (SSPs), which emerged in the literature since the publication of the original set (e.g., GDP, population) of SSP-related indicators. The tool hosts scenarios of indicators such as Gender Inequality Index, Governance, Rule of Law, Human Development Index, and Migration Flows.
Model
Welcome to the world of PlantFATE, a novel eco-evolutionary vegetation model designed to unravel the intricate dynamics of forests and their response to environmental change. PlantFATE stands as a powerful tool to guide conservation efforts, inform policy decisions, and foster a deeper appreciation for the wonders of nature. Embark on a journey through the intricate tapestry of forest resilience with PlantFATE as your guide.
Dataset
Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations.
Model
The Working Group on Fisheries-Induced Evolution (WGEVO) of the International Council for the Exploration of the Sea (ICES) has developed a general framework for investigating eco-evolutionary changes in fish stocks and their utilities in terms of ecosystem services and for assessing the management implications of fisheries-induced evolution through Evolutionary Impact Assessments (EvoIAs).